diff --git a/graphrag/config/models/drift_config.py b/graphrag/config/models/drift_config.py
new file mode 100644
index 00000000..196090de
--- /dev/null
+++ b/graphrag/config/models/drift_config.py
@@ -0,0 +1,102 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+import graphrag.config.defaults as defs
+
+
+class DRIFTSearchConfig(BaseModel):
+    """The default configuration section for Cache."""
+
+    temperature: float = Field(
+        description="The temperature to use for token generation.",
+        default=defs.DRIFT_SEARCH_LLM_TEMPERATURE,
+    )
+    top_p: float = Field(
+        description="The top-p value to use for token generation.",
+        default=defs.DRIFT_SEARCH_LLM_TOP_P,
+    )
+    n: int = Field(
+        description="The number of completions to generate.",
+        default=defs.DRIFT_SEARCH_LLM_N,
+    )
+    max_tokens: int = Field(
+        description="The maximum context size in tokens.",
+        default=defs.DRIFT_SEARCH_MAX_TOKENS,
+    )
+    data_max_tokens: int = Field(
+        description="The data llm maximum tokens.",
+        default=defs.DRIFT_SEARCH_DATA_MAX_TOKENS,
+    )
+
+    concurrency: int = Field(
+        description="The number of concurrent requests.",
+        default=defs.DRIFT_SEARCH_CONCURRENCY,
+    )
+
+    search_primer_k: int = Field(
+        description="The number of top global results to retrieve.",
+        default=defs.DRIFT_SEARCH_PRIMER_K,
+    )
+
+    primer_folds: int = Field(
+        description="The number of folds for search priming.",
+        default=defs.DRIFT_SEARCH_PRIMER_FOLDS,
+    )
+
+    primer_llm_max_tokens: int = Field(
+        description="The maximum number of tokens for the LLM in primer.",
+        default=defs.DRIFT_SEARCH_PRIMER_MAX_TOKENS,
+    )
+
+    steps: int = Field(
+        description="The number of drift search steps to take.",
+        default=defs.DRIFT_SEARCH_STEPS,
+    )
+
+    local_search_text_unit_prop: float = Field(
+        description="The proportion of search dedicated to text units.",
+        default=defs.DRIFT_LOCAL_SEARCH_TEXT_UNIT_PROP,
+    )
+
+    local_search_community_prop: float = Field(
+        description="The proportion of search dedicated to community properties.",
+        default=defs.DRIFT_LOCAL_SEARCH_COMMUNITY_PROP,
+    )
+
+    local_search_top_k_mapped_entities: int = Field(
+        description="The number of top K entities to map during local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES,
+    )
+
+    local_search_top_k_relationships: int = Field(
+        description="The number of top K relationships to map during local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_TOP_K_RELATIONSHIPS,
+    )
+
+    local_search_max_data_tokens: int = Field(
+        description="The maximum context size in tokens for local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_MAX_TOKENS,
+    )
+
+    local_search_temperature: float = Field(
+        description="The temperature to use for token generation in local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_LLM_TEMPERATURE,
+    )
+
+    local_search_top_p: float = Field(
+        description="The top-p value to use for token generation in local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_LLM_TOP_P,
+    )
+
+    local_search_n: int = Field(
+        description="The number of completions to generate in local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_LLM_N,
+    )
+
+    local_search_llm_max_gen_tokens: int = Field(
+        description="The maximum number of generated tokens for the LLM in local search.",
+        default=defs.DRIFT_LOCAL_SEARCH_LLM_MAX_TOKENS,
+    )